Literature DB >> 33689769

Enhancer grammar in development, evolution, and disease: dependencies and interplay.

Granton A Jindal1, Emma K Farley2.   

Abstract

Each language has standard books describing that language's grammatical rules. Biologists have searched for similar, albeit more complex, principles relating enhancer sequence to gene expression. Here, we review the literature on enhancer grammar. We introduce dependency grammar, a model where enhancers encode information based on dependencies between enhancer features shaped by mechanistic, evolutionary, and biological constraints. Classifying enhancers based on the types of dependencies may identify unifying principles relating enhancer sequence to gene expression. Such rules would allow us to read the instructions for development within genomes and pinpoint causal enhancer variants underlying disease and evolutionary changes.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Mesh:

Year:  2021        PMID: 33689769      PMCID: PMC8462829          DOI: 10.1016/j.devcel.2021.02.016

Source DB:  PubMed          Journal:  Dev Cell        ISSN: 1534-5807            Impact factor:   12.270


  126 in total

1.  Immunity regulatory DNAs share common organizational features in Drosophila.

Authors:  Kate Senger; Grant W Armstrong; William J Rowell; Jennifer M Kwan; Michele Markstein; Michael Levine
Journal:  Mol Cell       Date:  2004-01-16       Impact factor: 17.970

2.  A phylogenetically based transcriptome age index mirrors ontogenetic divergence patterns.

Authors:  Tomislav Domazet-Lošo; Diethard Tautz
Journal:  Nature       Date:  2010-12-09       Impact factor: 49.962

3.  Variation in homeodomain DNA binding revealed by high-resolution analysis of sequence preferences.

Authors:  Michael F Berger; Gwenael Badis; Andrew R Gehrke; Shaheynoor Talukder; Anthony A Philippakis; Lourdes Peña-Castillo; Trevis M Alleyne; Sanie Mnaimneh; Olga B Botvinnik; Esther T Chan; Faiqua Khalid; Wen Zhang; Daniel Newburger; Savina A Jaeger; Quaid D Morris; Martha L Bulyk; Timothy R Hughes
Journal:  Cell       Date:  2008-06-27       Impact factor: 41.582

4.  Comprehensive In Vivo Interrogation Reveals Phenotypic Impact of Human Enhancer Variants.

Authors:  Evgeny Z Kvon; Yiwen Zhu; Guy Kelman; Catherine S Novak; Ingrid Plajzer-Frick; Momoe Kato; Tyler H Garvin; Quan Pham; Anne N Harrington; Riana D Hunter; Janeth Godoy; Eman M Meky; Jennifer A Akiyama; Veena Afzal; Stella Tran; Fabienne Escande; Brigitte Gilbert-Dussardier; Nolwenn Jean-Marçais; Sanjarbek Hudaiberdiev; Ivan Ovcharenko; Matthew B Dobbs; Christina A Gurnett; Sylvie Manouvrier-Hanu; Florence Petit; Axel Visel; Diane E Dickel; Len A Pennacchio
Journal:  Cell       Date:  2020-03-12       Impact factor: 41.582

5.  Reassessing the "duon" hypothesis of protein evolution.

Authors:  Ke Xing; Xionglei He
Journal:  Mol Biol Evol       Date:  2015-01-12       Impact factor: 16.240

6.  Syntax compensates for poor binding sites to encode tissue specificity of developmental enhancers.

Authors:  Emma K Farley; Katrina M Olson; Wei Zhang; Daniel S Rokhsar; Michael S Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-06       Impact factor: 11.205

7.  Transcriptional regulation of nanog by OCT4 and SOX2.

Authors:  David J Rodda; Joon-Lin Chew; Leng-Hiong Lim; Yuin-Han Loh; Bei Wang; Huck-Hui Ng; Paul Robson
Journal:  J Biol Chem       Date:  2005-04-27       Impact factor: 5.157

8.  Shadow enhancers foster robustness of Drosophila gastrulation.

Authors:  Michael W Perry; Alistair N Boettiger; Jacques P Bothma; Michael Levine
Journal:  Curr Biol       Date:  2010-09-14       Impact factor: 10.834

9.  Transvection.

Authors:  Takashi Fukaya; Michael Levine
Journal:  Curr Biol       Date:  2017-10-09       Impact factor: 10.834

Review 10.  Making sense of GWAS: using epigenomics and genome engineering to understand the functional relevance of SNPs in non-coding regions of the human genome.

Authors:  Yu Gyoung Tak; Peggy J Farnham
Journal:  Epigenetics Chromatin       Date:  2015-12-30       Impact factor: 4.954

View more
  14 in total

1.  "Stripe" transcription factors provide accessibility to co-binding partners in mammalian genomes.

Authors:  Yongbing Zhao; Supriya V Vartak; Andrea Conte; Xiang Wang; David A Garcia; Evan Stevens; Seol Kyoung Jung; Kyong-Rim Kieffer-Kwon; Laura Vian; Timothy Stodola; Francisco Moris; Laura Chopp; Silvia Preite; Pamela L Schwartzberg; Joseph M Kulinski; Ana Olivera; Christelle Harly; Avinash Bhandoola; Elisabeth F Heuston; David M Bodine; Raul Urrutia; Arpita Upadhyaya; Matthew T Weirauch; Gordon Hager; Rafael Casellas
Journal:  Mol Cell       Date:  2022-07-20       Impact factor: 19.328

Review 2.  Transcriptional enhancers at 40: evolution of a viral DNA element to nuclear architectural structures.

Authors:  Sreejith J Nair; Tom Suter; Susan Wang; Lu Yang; Feng Yang; Michael G Rosenfeld
Journal:  Trends Genet       Date:  2022-07-07       Impact factor: 11.821

3.  Machine learning sequence prioritization for cell type-specific enhancer design.

Authors:  Alyssa J Lawler; Easwaran Ramamurthy; Ashley R Brown; Naomi Shin; Yeonju Kim; Noelle Toong; Irene M Kaplow; Morgan Wirthlin; Xiaoyu Zhang; BaDoi N Phan; Grant A Fox; Kirsten Wade; Jing He; Bilge Esin Ozturk; Leah C Byrne; William R Stauffer; Kenneth N Fish; Andreas R Pfenning
Journal:  Elife       Date:  2022-05-16       Impact factor: 8.713

Review 4.  Pioneer factors as master regulators of the epigenome and cell fate.

Authors:  Aurelio Balsalobre; Jacques Drouin
Journal:  Nat Rev Mol Cell Biol       Date:  2022-03-09       Impact factor: 113.915

Review 5.  Perfect and imperfect views of ultraconserved sequences.

Authors:  Valentina Snetkova; Len A Pennacchio; Axel Visel; Diane E Dickel
Journal:  Nat Rev Genet       Date:  2021-11-11       Impact factor: 59.581

6.  DeepSTARR predicts enhancer activity from DNA sequence and enables the de novo design of synthetic enhancers.

Authors:  Bernardo P de Almeida; Franziska Reiter; Michaela Pagani; Alexander Stark
Journal:  Nat Genet       Date:  2022-05-12       Impact factor: 41.307

7.  Androgen receptor positively regulates gonadotropin-releasing hormone receptor in pituitary gonadotropes.

Authors:  Genevieve E Ryan; Stephanie C Bohaczuk; Jessica Cassin; Emily A Witham; Shadi Shojaei; Emily V Ho; Varykina G Thackray; Pamela L Mellon
Journal:  Mol Cell Endocrinol       Date:  2021-04-17       Impact factor: 4.369

8.  Delineation of the DNA Structural Features of Eukaryotic Core Promoter Classes.

Authors:  Akkinepally Vanaja; Venkata Rajesh Yella
Journal:  ACS Omega       Date:  2022-02-09

9.  Inferring mammalian tissue-specific regulatory conservation by predicting tissue-specific differences in open chromatin.

Authors:  Irene M Kaplow; Daniel E Schäffer; Morgan E Wirthlin; Alyssa J Lawler; Ashley R Brown; Michael Kleyman; Andreas R Pfenning
Journal:  BMC Genomics       Date:  2022-04-11       Impact factor: 4.547

10.  Machine Learning Prediction of Non-Coding Variant Impact in Human Retinal cis-Regulatory Elements.

Authors:  Leah S VandenBosch; Kelsey Luu; Andrew E Timms; Shriya Challam; Yue Wu; Aaron Y Lee; Timothy J Cherry
Journal:  Transl Vis Sci Technol       Date:  2022-04-01       Impact factor: 3.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.